Gradient Dissent: Conversations on AI

Josh Tobin — Productionizing ML Models


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Josh Tobin is a researcher working at the intersection of machine learning and robotics. His research focuses on applying deep reinforcement learning, generative models, and synthetic data to problems in robotic perception and control.
Additionally, he co-organizes a machine learning training program for engineers to learn about production-ready deep learning called Full Stack Deep Learning. https://fullstackdeeplearning.com/
Josh did his PhD in Computer Science at UC Berkeley advised by Pieter Abbeel and was a research scientist at OpenAI for 3 years during his PhD.
Finally, Josh created this amazing field guide on troubleshooting deep neural networks:
http://josh-tobin.com/assets/pdf/troubleshooting-deep-neural-networks-01-19.pdf
Follow Josh on twitter: https://twitter.com/josh_tobin
And on his website:http://josh-tobin.com/
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www.wandb.com/podcast
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We started Weights and Biases to build tools for Machine Learning practitioners because we care a lot about the impact that Machine Learning can have in the world and we love working in the trenches with the people building these models. One of the most fun things about these building tools has been the conversations with these ML practitioners and learning about the interesting things they’re working on. This process has been so fun that we wanted to open it up to the world in the form of our new podcast called Gradient Dissent. We hope you have as much fun listening to it as we had making it!
👩🏼‍🚀Weights and Biases:
We’re always free for academics and open source projects. Email [email protected] with any questions or feature suggestions.
- Blog: https://www.wandb.com/articles
- Gallery: See what you can create with W&B - https://app.wandb.ai/gallery
- Continue the conversation on our slack community - http://bit.ly/wandb-forum
🎙Host: Lukas Biewald - https://twitter.com/l2k
👩🏼‍💻Producer: Lavanya Shukla - https://twitter.com/lavanyaai
📹Editor: Cayla Sharp - http://caylasharp.com/
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Gradient Dissent: Conversations on AIBy Lukas Biewald

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